Abstract

We propose and evaluate a recommendation method that considers region-restrictedness. In our previous work, we defined a spot as an establishment such as a restaurant, amusement facility, or tourist attraction in the real world. A spot with high region-restrictedness indicates that the spot is located in a restricted area but not in a user’s home area. We defined the region-restrictedness score to extract region-restricted phrases from text data about spots (such as promotional descriptions about spots). Then, spots including these phrases are recommended to the user. In this paper, we present our proposed method and discuss it on the basis of quantitative and qualitative experimental results.